Hiroki Habuka

Researcher

Hiroki Habuka

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Languages
JapaneseEnglish

Contact Information

FAX
+81-3-6266-8864

Practice Areas

Hiroki Habuka:Awards

Awards
The Best Lawyers in Japan™ and Best Lawyers: Ones to Watch in Japan™ (2025 edition)
Awards
The Best Lawyers in Japan™ and Best Lawyers: Ones to Watch in Japan™ (2024 edition)
Awards
Lawyers from Mori Hamada & Matsumoto were included in the 13th edition of The Best Lawyers in Japan™ and the inaugural Best Lawyers: Ones to Watch in Japan™

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Hiroki Habuka:News

Public Service
Hiroki Habuka becomes a Chairperson of the Expert Examination Committee on Research and Study on the Use of Generative AI, Etc. in Child and Childcare Related Areas, Children and Families Agency
Public Service
Hiroki Habuka and Katsuya Terai become Adjunct Lecturers in the Degree Programs in Business Sciences, Graduate School of Business Sciences, Humanities and Social Sciences, University of Tsukuba
Public Service
Hiroki Habuka became a Project Professor at Graduate School of Law, Kyoto University

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Hiroki Habuka:Seminars

May 9, 2024External Seminars
"2nd Annual Conference on AI and IP"
Apr. 6, 2024 - Apr. 7, 2024External Seminars
"Agile Governance Symposium 3rd"
Jan. 24, 2024External Seminars
"Regulating AI in Japan and the United States"

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Hiroki Habuka:Publications

Article
"Agile Governance in the Architectural Informatics Field: White Paper on Architectural Informatics Society Vol. 3"
Magazine Article
"AI Governance Consultation (Final Chapter): AI Governance - Concluding Episode"
Magazine Article
"AI Governance Consultation (5): Developers (2)"

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Hiroki Habuka:Research Reports

Hiroki Habuka:Other

Background

  • The University of Tokyo (LL.B., 2008)
  • The University of Tokyo, School of Law (J.D., 2010)
  • with the World Trade Organization (2011)
  • Corporate Accounting and Disclosure Division, Planning and Coordination Bureau, Financial Services Agency Government of Japan (Deputy Director)(2015- )
  • Stanford Law School (LL.M. 2017, Fulbright Scholar)
  • with McDermott Will & Emery AARPI (Paris) (2017)
  • seconded to the Information Economy Division of the Commerce and Information Policy Bureau, Ministry of Economy, Trade and Industry (METI) (Deputy Director)(2018)
  • seconded to the Information Economy Division of the Commerce and Information Policy Bureau, Ministry of Economy, Trade and Industry (METI) (Deputy Director for Global Digital Governance) (2021-2022)
  • Project Professor at Graduate School of Law, Kyoto University (2022-)

Major Activities

  • Deputy Director-General of Japan Association of Arbitrators (2013-2016)
  • Advisory Lecturer for Students who Have Not Previously Studied Law, The University of Tokyo Graduate School for Law (2014-2015)
  • Member of Global Future Council on Agile Governance, The World Economic Forum (2019-2020)
  • Lecturer at Tokyo University, Graduate Schools of Public Policy (2020-2023)
  • Member of the Research Presentation Executive Committee, Intellectual Property Association of Japan (2021)
  • Senior Fellow at the Center for Strategic and International Studies (CSIS) (2022-)
  • Adjunct Lecturer in the Degree Programs in Business Sciences, Graduate School of Business Sciences, Humanities and Social Sciences, University of Tsukuba (2023-)
  • Visiting Associate Professor at The University of Tokyo School of Law(2023-)
  • Chairperson of the Expert Examination Committee on Research and Study on the Use of Generative AI, Etc. in Child and Childcare Related Areas, Children and Families Agency (2024-)

Bar Admissions

admitted in Japan, 2012; New York, 2019
Daini-Tokyo Bar Association
New York State Bar Association

Other Qualifications

Certificate in WTO, International Trade and Development"Graduate Institute, Geneva" (passed in 2016,6)
Japan Deep Learning Association G Test (passed in 2019,3)
Information-technology Promotion Agency Information Security Management Examination (passed in 2019,5)
Certificate, Machine Learning by Stanford University on Coursera (2020,3)
Personal Information Protection Officer (2020,10)
Completed and Received a Passing Grade in Machine Learning with Python: From Linear Models to Deep Learning, a Course of Study Offered by MITx, an Online Learning Initiative of the Massachusetts Institute of Technology (2021,5)